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Machine Learning using Python
Introduction to Python and Object orientation.
Introduction to python notebooks and libraries. (181:54)
Understanding variable sequences, object orientation, vectors and dataframes. (165:36)
Section Quiz.
Data handling, Functions and Loops in Python.
Data handling and data filtration. (166:36)
Scatter plots and user defined functions in Python. (131:58)
Conditional statements, loops and date handling. (162:43)
Section Quiz.
Section Assignment.
Predictive Modeling using Linear regression in Python.
Data pre-processing for Machine Learning. (168:07)
Linear regression algorithm for Predictive Modeling (SLRM). (179:49)
Sampling theory, Cross Validation and Linear regression (MLRM). (162:18)
Data cleaning (outlier treatment) and libraries. (159:41)
Using decision trees and random forest. (386:43)
Section Quiz.
Assignment on Linear Regression.
Predictive Modeling using Logistic regression in Python.
Introduction to Logistic Regression. (108:18)
Logistic regression - Case Study 1. (109:26)
Logistic regression - Case Study 2. (82:26)
Section Quiz.
Assignment on Logistic Regression.
Predictive modelling using Time Series in Python.
Introduction to time-series and forecasting. (131:11)
Time Series - Case Study. (150:20)
Section Quiz.
Clustering using Python.
Introduction to Clustering. (155:49)
Clustering - Case Study. (170:58)
Section Quiz.
Selenium Web scraping and Deep Learning.
Text mining in Python Jupyter notebook (161:56)
Selenium Web Scrapping and Natural Language Processing. (176:56)
Deep Learning - Artificial Neural Networks (ANN) Part 1 (191:40)
Deep Learning - Artificial Neural Networks (ANN) Part 2 (308:16)
Technical guide to python.
Technical guide to python.
Python module Quiz.
Attempt the python quiz.
Introduction to python notebooks and libraries.
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